Noometry

Model comparison

GLM-4.5V vs Grok 4.1 Fast

Grok 4.1 Fast is the stronger model overall, scoring 41.4 to 39.8 on the Noometry Index.

Last verified . 14 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Grok 4.1 Fast xAI

41.4

Rank #136 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 3 categories and Grok 4.1 Fast in 6 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.1 Fast leads 43.4 to 27.4.
  • Grok 4.1 Fast is cheaper at $0.20 / $0.50 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
  • Grok 4.1 Fast accepts more context: 128K tokens versus 64K.
  • GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

GLM-4.5VGrok 4.1 Fast
ProviderZ.ai (Zhipu)xAI
Noometry Index39.841.4
Released2025-08-112025-06-27
WeightsOpenProprietary
Context window64K128K
Max output16K30K
Input $ / M tokens$0.60$0.20
Output $ / M tokens$1.80$0.50
Results tracked1532

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Category by category

Coding GLM-4.5V leads

GLM-4.5V: 39.5 (#155), Grok 4.1 Fast: 34.1 (#245)

BenchmarkGLM-4.5VGrok 4.1 Fast
LMArena Coding13471411
LMArena WebDev—1242
ALE-Bench—394.93

Agentic & Tool Use Not comparable

GLM-4.5V: —, Grok 4.1 Fast: 36.3 (#39)

BenchmarkGLM-4.5VGrok 4.1 Fast
Berkeley Function Calling Leaderboard—69.6%
τ²-bench Banking—13.1%
LMArena Search—1171
Vending-Bench 2—1,107

Reasoning Grok 4.1 Fast leads

GLM-4.5V: 27.4 (#119), Grok 4.1 Fast: 43.4 (#49)

BenchmarkGLM-4.5VGrok 4.1 Fast
LMArena Hard Prompts13341407
SimpleBench—56%
Kagi LLM Benchmark59.8%—
NYT Connections (extended)—87.4%
DTBench—87.7%
ForecastBench—61

Math GLM-4.5V leads

GLM-4.5V: 37.4 (#159), Grok 4.1 Fast: 31.9 (#221)

BenchmarkGLM-4.5VGrok 4.1 Fast
LMArena Math13541408
MathArena Final-Answer Competitions—60.9%
ProofBench—4%

Knowledge GLM-4.5V leads

GLM-4.5V: 37.5 (#156), Grok 4.1 Fast: 33.1 (#207)

BenchmarkGLM-4.5VGrok 4.1 Fast
LMArena Expert13531399
Vectara Hallucination Rate—17.8%

Multimodal Grok 4.1 Fast leads

GLM-4.5V: 34.3 (#92), Grok 4.1 Fast: 37.0 (#76)

BenchmarkGLM-4.5VGrok 4.1 Fast
LMArena Vision11541201

Multilingual Grok 4.1 Fast leads

GLM-4.5V: 44.6 (#177), Grok 4.1 Fast: 51.0 (#114)

BenchmarkGLM-4.5VGrok 4.1 Fast
LMArena Non-English13031391
LMArena Chinese13371441
LMArena Russian12981387
LMArena Spanish13361413
LMArena French—1415
LMArena German—1404
LMArena Japanese—1349
LMArena Korean—1361

Instruction Following Grok 4.1 Fast leads

GLM-4.5V: 69.2 (#175), Grok 4.1 Fast: 72.7 (#133)

BenchmarkGLM-4.5VGrok 4.1 Fast
LMArena Instruction Following13111376

Long Context Grok 4.1 Fast leads

GLM-4.5V: 39.6 (#171), Grok 4.1 Fast: 42.4 (#126)

BenchmarkGLM-4.5VGrok 4.1 Fast
LMArena Longer Query13041390

Writing & Preference Grok 4.1 Fast leads

GLM-4.5V: 52.5 (#170), Grok 4.1 Fast: 57.2 (#131)

BenchmarkGLM-4.5VGrok 4.1 Fast
LMArena Text13331408
LMArena Creative Writing12951394
LMArena Multi-Turn13321389
EQ-Bench Creative Writing—1327

Frequently asked questions

Is GLM-4.5V better than Grok 4.1 Fast?

Grok 4.1 Fast is the stronger model overall, scoring 41.4 to 39.8 on the Noometry Index.

Which is cheaper, GLM-4.5V or Grok 4.1 Fast?

Grok 4.1 Fast is cheaper. It lists at $0.20 per million input tokens and $0.50 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

Is GLM-4.5V or Grok 4.1 Fast better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 34.1 in the Noometry coding category.

Which has the bigger context window?

Grok 4.1 Fast does, with 128K tokens against 64K.

How many benchmarks do GLM-4.5V and Grok 4.1 Fast share?

14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Grok 4.1 Fast has 32.

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